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Autor(en): 
  • James Holland
  • Fikret Isik
  • Christian Maltecca
  • Genetic Data Analysis for Plant and Animal Breeding 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Juni 2018  
    Genre:  Schulbücher 
     
    Agricultural Genetics / Agricultural science / Agriculture / Animal genetics / Animal Genetics and Genomics / B / bioinformatics / Biomedical and Life Sciences / Biostatistics / biotechnology / Botany & plant sciences / Genetics (non-medical) / Plant Biotechnology / Plant breeding / Plant Breeding/Biotechnology / Plant Genetics / Plant Genetics and Genomics / Zoology & animal sciences
    ISBN:  9783319855868 
    EAN-Code: 
    9783319855868 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 279 mm / B 210 mm / D 23 mm 
    Gewicht:  1018 gr 
    Seiten:  420 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding programs. In the second section (Chapters 9 to 13) we provide the concept and overall review of available tools for using DNA markers for predictions of genetic merits in breeding populations. With advances in DNA sequencing technologies, genomic data, especially single nucleotide polymorphism (SNP) markers, have become available for animal and plant breeding programs in recent years. Analysis of DNA markers for prediction of genetic merit is a relatively new and active research area. The algorithms and software to implement these algorithms are changing rapidly. This section represents state-of-the-art knowledge on the tools and technologies available for genetic analysis of plants and animals. However, readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years. Ultimately the book is intended for professional breeders interested in utilizing these tools and approaches in their breeding programs. Lastly, we anticipate the usage of this volume for advanced level graduate courses in agricultural and breeding courses.
      



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